all AI news
DESeq2 and edgeR should no longer be the default choices for large-sample differential gene…
March 25, 2022, 5:35 p.m. | Jingyi Jessica Li
Towards Data Science - Medium towardsdatascience.com
DESeq2 and edgeR should no longer be the default choices for large-sample differential gene expression analysis
Complexities should not be added unless necessary.
Assumptions may not be needed for large-sample data.
Author: fei.zhao (思考问题的熊)
Original post: https://kaopubear.top/blog/2022-03-20-donot-use-deseq2-edger-in-human-population-samples
Translated by Xinzhou Ge and Jingyi Jessica Li (UCLA) with the author’s permission
For our shorter introduction to our Genome Biology article, please see https://towardsdatascience.com/a-large-sample-crisis-or-not-640224020757
During my Ph.D. years, I enjoyed evaluating and comparing various bioinformatics software packages when I was not busy. …
More from towardsdatascience.com / Towards Data Science - Medium
Jobs in AI, ML, Big Data
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Business Data Analyst
@ Alstom | Johannesburg, GT, ZA